Economic

DOGE transfers social security data to the cloud, sources say

A whistle-blower has reported that the Department of Government Efficiency (DOGE) allegedly transferred a copy of the US Social Security database to an Amazon Web Services cloud environment.

The action placed personal information for more than 300 million individuals in a system outside traditional federal oversight.

Known as NUMIDENT, the database contains information submitted for Social Security applications, including names, dates of birth, addresses, citizenship, and parental details.

DOGE personnel managed the cloud environment and gained administrative access to perform testing and operational tasks.

Federal officials have highlighted that standard security protocols and authorisations, such as those outlined under the Federal Information Security Management Act (FISMA) and the Privacy Act of 1974, are designed to protect sensitive data.

Internal reviews have been prompted by the transfer, raising questions about compliance with established federal security practices.

While DOGE has not fully clarified the purpose of the cloud deployment, observers note that such initiatives may relate to broader federal efforts to improve data accessibility or inter-agency information sharing.

The case is part of ongoing discussions on balancing operational flexibility with information security in government systems.

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AI boom drives massive surge in data centre power demand

According to Goldman Sachs, the surge in AI is set to transform global energy markets, with data centres expected to consume 165% more electricity by 2030 compared to 2023. The bank reports that US spending on data centre construction has tripled in just three years, while occupancy rates at existing facilities remain close to record highs.

The demand is driven by hyperscale operators like Amazon Web Services, Microsoft Azure, and Google Cloud, which are rapidly expanding their infrastructure to meet the power-hungry needs of AI systems.

Global data centres use about 55 gigawatts of electricity, more than half of which supports cloud computing. Traditional workloads like email and storage still account for a third, while AI represents just 14%.

However, Goldman Sachs projects that by 2027, overall consumption could rise to 84 gigawatts, with AI’s share growing to over a quarter. That shift is straining grids and pushing operators toward new solutions as AI servers can consume ten times more electricity than traditional racks.

Meeting this demand will require massive investment. Goldman Sachs estimates that global grid upgrades could cost as much as US$720 billion by 2030, with US utilities alone needing an additional US$50 billion in new generation capacity for data centres.

While renewables like wind and solar are increasingly cost-competitive, their intermittent output means operators lean on hybrid models with backup gas and battery storage. At the same time, technology companies are reviving interest in nuclear power, with contracts for over 10 gigawatts of new capacity signed in the US last year.

The expansion is most evident in Europe and North America, with Nordic countries, Spain, and France attracting investment due to their renewable energy resources. At the same time, hubs like Germany, Britain, and Ireland rely on incentives and established ecosystems. Yet, uncertainty remains.

Advances like DeepSeek, a Chinese AI model reportedly as capable as US systems but more efficient, could temper power demand growth. For now, however, the trajectory is clear, AI is reshaping the data centre industry and the global energy landscape.

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AI scams target seniors’ savings

Cybersecurity experts have warned that AI is being used to target senior citizens in sophisticated financial scams. The Phantom Hacker scam impersonates tech support, bank, and government workers to steal seniors’ life savings.

The first stage involves a fake tech support worker accessing the victim’s computer to check accounts under the pretence of spotting fraud. A fraud department impersonator then tells victims to transfer funds to a ‘safe’ account allegedly at risk from foreign hackers.

A fake government worker then directs the victim to transfer money to an alias account controlled by the scammers. Check Point CIO Pete Nicoletti says AI helps scammers identify targets by analysing social media and online activity.

Experts stress that reporting the theft immediately is crucial. Delays significantly reduce the chance of recovering stolen funds, leaving many victims permanently defrauded.

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AI-generated media must now carry labels in China

China has introduced a sweeping new law that requires all AI-generated content online to carry labels. The measure, which came into effect on 1 September, aims to tackle misinformation, fraud and copyright infringement by ensuring greater transparency in digital media.

The law, first announced in March by the Cyberspace Administration of China, mandates that all AI-created text, images, video and audio must carry explicit and implicit markings.

These include visible labels and embedded metadata such as watermarks in files. Authorities argue that the rules will help safeguard users while reinforcing Beijing’s tightening grip over online spaces.

Major platforms such as WeChat, Douyin, Weibo and RedNote moved quickly to comply, rolling out new features and notifications for their users. The regulations also form part of the Qinglang campaign, a broader effort by Chinese authorities to clean up online activity with a strong focus on AI oversight.

While Google and other US companies are experimenting with content authentication tools, China has enacted legally binding rules nationwide.

Observers suggest that other governments may soon follow, as global concern about the risks of unlabelled AI-generated material grows.

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Businesses absorb Bitcoin at four times the mining rate

Private and public businesses are acquiring Bitcoin nearly four times faster than miners are producing new coins, according to financial services firm River.

Companies, including publicly traded treasuries and private businesses, purchased an average of 1,755 BTC daily in 2025, with ETFs adding 1,430 BTC daily. Governments also joined in, buying about 39 BTC per day.

In contrast, miners produced just 450 BTC daily, raising fears of a potential supply crunch.

In the second quarter of 2025 alone, treasury companies acquired 159,107 BTC, bringing business holdings to around 1.3 million BTC. Michael Saylor’s firm Strategy leads with a corporate reserve of 632,457 BTC, making it the largest known holder.

Strategy says aggressive buying does not affect short-term prices, as most transactions are handled off-exchange through OTC markets. Analysts, however, continue to speculate that dwindling exchange reserves could become a powerful bullish force.

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ESMA highlights risks of tokenised equity products

A top European regulator has warned that tokenised stocks could mislead investors and undermine confidence in financial markets. Natasha Cazenave of ESMA said many tokenised stocks, like voting or dividends, lack shareholder rights.

Unlike traditional equities, tokenised stocks are typically issued through intermediaries and merely track share prices. Cazenave cautioned that retail investors may wrongly believe they own company shares, exposing them to a risk of misunderstanding.

Her warning follows the expansion of tokenised stock services on platforms like Robinhood and Kraken.

The World Federation of Exchanges recently echoed these concerns, urging regulators to strengthen oversight. Without intervention, the group warned that tokenised products could threaten market integrity and heighten investor risks.

Although advocates say tokenisation could cut costs and widen access, Cazenave noted most projects remain small, illiquid, and far from delivering promised efficiency. Regulators, she added, remain focused on balancing innovation with investor protection.

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ChatGPT safety checks may trigger police action

OpenAI has confirmed that ChatGPT conversations signalling a risk of serious harm to others can be reviewed by human moderators and may even reach the police.

The company explained these measures in a blog post, stressing that its system is designed to balance user privacy with public safety.

The safeguards treat self-harm differently from threats to others. When a user expresses suicidal intent, ChatGPT directs them to professional resources instead of contacting law enforcement.

By contrast, conversations showing intent to harm someone else are escalated to trained moderators, and if they identify an imminent risk, OpenAI may alert authorities and suspend accounts.

The company admitted its safety measures work better in short conversations than in lengthy or repeated ones, where safeguards can weaken.

OpenAI is working to strengthen consistency across interactions and developing parental controls, new interventions for risky behaviour, and potential connections to professional help before crises worsen.

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Alibaba shares soar on AI and cloud growth

Alibaba’s Hong Kong shares rose over 15%, their most significant single-day gain since early 2023, following strong AI revenue growth. AI-related sales surged triple digits, and the cloud division grew 26% to 33.4 billion yuan ($4.7 billion), exceeding expectations and driving expansion.

The results underline Alibaba’s transformation from a retail-heavy company into a diversified technology player. Analysts say AI is now a central growth driver, with cloud and AI offerings boosting investor confidence despite price war pressures from JD.com and Meituan.

Alibaba is investing in AI hardware and developing proprietary chips to reduce reliance on foreign semiconductors. The strategy aims to build faster, cheaper, and more secure AI systems for domestic and international markets, including Lazada and AliExpress.

Experts view this calculated self-reliance and strong cloud and AI services as a long-term growth driver.

While retail rivals continue to struggle with profit pressure, Alibaba’s leadership has emphasised AI as a core strategic focus.

CEO Eddie Wu emphasised ambitions in artificial general intelligence, with analysts noting AI could protect Alibaba from price wars and support growth across multiple business areas.

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Historic Bitcoin event set for November in San Salvador

El Salvador will host the world’s first state-sponsored Bitcoin conference, Bitcoin Histórico, on 12–13 November 2025 in San Salvador’s historic centre. The two-day event, organised by the National Bitcoin Office, will focus on money, culture, and crypto innovation, with early bird tickets available in Bitcoin or fiat.

Centro Histórico will be transformed into a hub for discussions, workshops, and cultural exchange. Keynote addresses at the National Palace will be broadcast to Plaza Gerardo Barrios, with additional sessions held at the National Library and National Theatre.

Speakers include billionaire Ricardo Salinas, author Jeff Booth, Bitcoin advocates Max Keiser and Stacy Herbert, Lightning Network developer Jack Mallers, and industry figures Pierre Rochard, Jimmy Song, Darin Feinstein, and Lina Seiche.

El Salvador’s government, holding 6,220 BTC, recently amended the constitution to extend presidential terms, allowing President Nayib Bukele another term.

The conference will address regulation, infrastructure, power use, financial inclusion, price volatility, and public understanding, guiding developing nations on using cryptocurrency.

The announcement coincides with a BTC recovery, trading above $109,175 following last week’s dip. Institutional demand remains strong, with Japanese company Metaplanet adding 1,009 BTC, while US spot ETFs recorded $440 million weekly inflows.

Anticipation of a Fed rate cut may further support Bitcoin and other risk assets.

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